WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy

BACKGROUND: Ischemic cardiomyopathy (ICM) induced heart failure (HF) is one of the most common causes of death worldwide. This study aimed to find candidate genes for ICM-HF and to identify relevant biomarkers by machine learning (ML). METHODS: The expression data of ICM-HF and normal samples were d...

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Detalles Bibliográficos
Autores principales: Kong, XiangJin, Sun, HouRong, Wei, KaiMing, Meng, LingWei, Lv, Xin, Liu, ChuanZhen, Lin, FuShun, Gu, XingHua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064046/
https://www.ncbi.nlm.nih.gov/pubmed/37008314
http://dx.doi.org/10.3389/fcvm.2023.1058834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064046/
https://www.ncbi.nlm.nih.gov/pubmed/37008314
http://dx.doi.org/10.3389/fcvm.2023.1058834

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